Apertus 70B vs Kimi K2 Instruct 0905 vs Morph V3 Fast
Kimi K2 Instruct 0905 comes out ahead, 38 to 32 and 32 on our weighted score, though Morph V3 Fast is 16% cheaper per token.
Swiss AI
Apertus 70B
32/100- ECI—
- Price$0.82 / $2.42
- Context66K
- Our pick
Moonshot AIKimi K2 Instruct 0905
38/100- ECI—
- Price$0.60 / $2.50
- Context262K
Morph
Morph V3 Fast
32/100- ECI—
- Price$0.80 / $1.20
- Context262K
Kimi K2 Instruct 0905 is our pick
Kimi K2 Instruct 0905 is the better all-round choice, scoring 38/100 against Morph V3 Fast (32) and Apertus 70B (32). Morph V3 Fast wins on price. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
- CapabilityNot enough dataNo independent benchmark covers every model here yet
- Lowest priceMorph V3 FastMorph V3 Fast $0.90 · Kimi K2 Instruct 0905 $1.07 · Apertus 70B $1.22 per 1M tokens (3:1 blend)
- Longest contextKimi K2 Instruct 0905 and Morph V3 FastKimi K2 Instruct 0905 262,144 · Morph V3 Fast 262,144 · Apertus 70B 65,536 tokens
- Widest inputsSame inputsApertus 70B: Text · Kimi K2 Instruct 0905: Text · Morph V3 Fast: Text
- Self-hostingApertus 70B and Kimi K2 Instruct 0905Publishes downloadable weights (Apache-2.0 and Modified MIT)
| Measure | Weight | Apertus 70B | Kimi K2 Instruct 0905 | Morph V3 Fast |
|---|---|---|---|---|
| Price | 50% | 44 | 46 | 50 |
| Inputs & features | 30% | 25 | 25 | 0 |
| Context window | 20% | 12 | 37 | 37 |
| Overall | 100% | 32/100 | 38/100 | 32/100 |
Left out because at least one model lacks the data: capability. The remaining weights were rescaled.
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | Apertus 70BSwiss AI | Kimi K2 Instruct 0905Moonshot AI | Morph V3 FastMorph |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $0.82 | $0.60 (best) | $0.80 |
| Output | $2.42 | $2.50 | $1.20 (best) |
| Cached input | — | — | — |
| Blended (3:1) | $1.22 | $1.07 | $0.90 (best) |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Median of 3 providers | Median of 12 providers | Median of 5 providers |
| Limits | |||
| Context window | 65,536 tokens | 262,144 tokens (best) | 262,144 tokens (best) |
| Max output | 8,192 tokens | 98,304 tokens | 131,072 tokens (best) |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | No | No |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | No | No | No |
| Tool calling | Yes | Yes | No |
| Structured output | No | No | No |
| Availability | |||
| Weights | OpenApache-2.0 | OpenModified MIT | Proprietary |
| API model ID | — | — | — |
| API providers | 3 | 13 (best) | 5 |
| Released | Sep 2, 2025 | Sep 5, 2025 | Jul 7, 2025 |
| Knowledge cutoff | Sep 2025 | — | — |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Apertus 70B$13.04
- Kimi K2 Instruct 0905$11.00
- Morph V3 Fast$10.40
Which should you choose?
Which is better: Apertus 70B, Kimi K2 Instruct 0905 or Morph V3 Fast?
Kimi K2 Instruct 0905 is the better all-round choice, scoring 38/100 against Morph V3 Fast (32) and Apertus 70B (32). Morph V3 Fast wins on price. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
Which is cheaper, Apertus 70B, Kimi K2 Instruct 0905 or Morph V3 Fast?
Morph V3 Fast is cheaper at $0.80 input / $1.20 output per million tokens (median across 5 API providers). Kimi K2 Instruct 0905 costs $0.60 input / $2.50 output per million tokens (median across 12 API providers); Apertus 70B costs $0.82 input / $2.42 output per million tokens (median across 3 API providers). At a typical mix of three input tokens to one output token, that is $0.90 per million tokens for Morph V3 Fast versus $1.07 for Kimi K2 Instruct 0905 (1.2× as much) and $1.22 for Apertus 70B (1.4× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Apertus 70B has not been scored yet, Kimi K2 Instruct 0905 has not been scored yet and Morph V3 Fast has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Apertus 70B, Kimi K2 Instruct 0905 and Morph V3 Fast yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Note that Morph V3 Fast does not support tool calling, which most coding agents need.
Which has the bigger context window?
Kimi K2 Instruct 0905 and Morph V3 Fast have the largest context windows (262,144 and 262,144 tokens), against 65,536 for Apertus 70B. Maximum output per response: Apertus 70B up to 8,192, Kimi K2 Instruct 0905 up to 98,304, Morph V3 Fast up to 131,072 tokens.
Which can read images, PDFs, audio or video?
Apertus 70B accepts text; Kimi K2 Instruct 0905 accepts text; Morph V3 Fast accepts text. They handle the same number of input types.
Are any of these open source?
Apertus 70B and Kimi K2 Instruct 0905 publishes its weights (Apache-2.0 and Modified MIT) and can be self-hosted; Morph V3 Fast is proprietary.
Which is newer?
Kimi K2 Instruct 0905 is the newest, released Sep 5, 2025. Apertus 70B came out Sep 2, 2025; Morph V3 Fast came out Jul 7, 2025. Knowledge cutoff: Apertus 70B Sep 2025.
How do you decide the winner?
Each model gets a 0–100 score on capability (50%, independent benchmark results); price (25%, blended price per million tokens (3 input : 1 output), log scale); inputs & features (15%, image, PDF, audio and video input, tool calling, structured output and reasoning); context window (10%, maximum tokens per request, log scale). Dimensions missing for any model are dropped and the remaining weights rescaled, so every model is judged on the same evidence. Specs and prices come from public model listings and the labs’ own API pages; capability scores come from independent benchmark runs. Data updated Nov 2, 2026.
